Real-time forecasting of snowfall using a neural network
- Author
- ROEBBER, Paul J1 ; BUTT, Melissa R1 ; REINKE, Sarah J1 ; GRAFENAUER, Thomas J2
[1] Atmospheric Science Group, Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States
[2] National Oceanic and Atmospheric Administration/National Weather Service, Grand Forks, North Dakota, United States - Source
Weather and forecasting. 2007, Vol 22, Num 3, pp 676-684, 9 p ; ref : 1/2 p
- CODEN
- WEFOE3
- ISSN
- 0882-8156
- Scientific domain
- Climatology, meteorology
- Publisher
- American Meteorological Society, Boston, MA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Donnée observation Enneigement Hydrométéorologie Neige Pertinence prévision Précipitation atmosphérique Prévision météorologique Prévision numérique Réseau neuronal Système temps réel Taux précipitation Prévision pour l'immédiat Etats Unis Amérique du Nord
- Keyword (en)
- Observation data Snowfall Hydrometeorology snow Forecast skill atmospheric precipitation Weather forecast Numerical forecast neural networks Real time system Rainfall rate Nowcast United States North America
- Keyword (es)
- Dato observación Estado nieve Hidrometeorología Nieve Pertinencia previsión Precipitación atmosférica Previsión meteorológica Previsión numérica Red neuronal Sistema tiempo real Indice pluviosidad Pronóstico momentáneo Estados Unidos America del norte
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology / 001E02D05 Water in the atmosphere (humidity, clouds, evaporation, precipitation)
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02D Meteorology / 001E02D14 Weather analysis and prediction
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18907106
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1175/WAF1000.1 
https://dx.doi.org/10.1175/WAF1000.1
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